Classification Method of Japanese Teaching Resources Based on Density Clustering Algorithm

Qinlang Li

2025

Abstract

In Japanese language teaching, teaching resources are very important and make the process of learning Japanese easier. From this, we can know the classification of resources, you can better find the required information, and the general classification method cannot solve the problem of inaccurate classification of Japanese teaching resources. Therefore, this paper proposes a classification method based on density clustering algorithm for resource classification analysis. First, computers are used to classify Japanese language teaching resources, and indicators are divided according to resource classification requirements to reduce resource classification in the interfering factor. Then, the computer classifies the results of Japanese teaching resources, forms a resource classification scheme, and classifies the resources Conduct a comprehensive analysis. MATLAB simulation shows that the classification method based on density clustering algorithm can classify resources in Japanese language teaching accurately under certain evaluation criteria The efficiency of resource classification is better than that of ordinary classification methods.

Paper Citation

in Harvard Style

Li Q. (2025). Classification Method of Japanese Teaching Resources Based on Density Clustering Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 250-256. DOI: 10.5220/0013539100004664

in Bibtex Style

@conference{incoft25,
author={Qinlang Li},
title={Classification Method of Japanese Teaching Resources Based on Density Clustering Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={250-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013539100004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Classification Method of Japanese Teaching Resources Based on Density Clustering Algorithm
SN - 978-989-758-763-4
AU - Li Q.
PY - 2025
SP - 250
EP - 256
DO - 10.5220/0013539100004664
PB - SciTePress